Unifying relations between iterative linear equation solvers and explicit Euler approximations for associated parabolic regularized equations

  • Iterative methods to solve linear equation systems are widely used in computational physics, engineering and many areas of applied mathematics. In recent works, performance improvements have been achieved based on modifications of several classes of iterative algorithms by various research communities driven by different perspectives and applications. This note presents a brief analysis of conventional and unifying perspectives by highlighting relations between several well-known iterative methods to solve linear equation systems and explicit Euler approximations of the associated parabolic regularized equations. Special cases of equivalence and general relations between different iterative methods such as Jacobi iterations, Richardson iterations, Steepest Descent and Quasi-Newton methods are shown and discussed. The results and discussion extend the conventional perspectives on these iterative methods and give way to intuitive physical interpretations and analogies. The accessibly presented relations give complementary educational insights and aim to inspire transdisciplinary developments of new iterative methods, solvers and preconditioners.
Metadaten
Verfasser*innenangaben:R. Sala, A. Schlüter, C. Sator, R. Müller
URN:urn:nbn:de:hbz:386-kluedo-68863
Titel des übergeordneten Werkes (Englisch):Results in Applied Mathematics
Verlag:Elsevier
Dokumentart:Wissenschaftlicher Artikel
Sprache der Veröffentlichung:Englisch
Datum der Veröffentlichung (online):21.07.2022
Jahr der Erstveröffentlichung:2021
Veröffentlichende Institution:Technische Universität Kaiserslautern
Datum der Publikation (Server):21.07.2022
Freies Schlagwort / Tag:Iterative methods; Parabolic regularization; Preconditioners; Sparse linear equations
GND-Schlagwort:Iterative methods; Sparse linear equations; Preconditioners; Parabolic regularization
Ausgabe / Heft:Volume 13, February 2022, 100227
Seitenzahl:6
Quelle:https://doi.org/10.1016/j.rinam.2021.100227
Fachbereiche / Organisatorische Einheiten:Kaiserslautern - Fachbereich Maschinenbau und Verfahrenstechnik
DDC-Sachgruppen:5 Naturwissenschaften und Mathematik / 510 Mathematik
Sammlungen:Open-Access-Publikationsfonds
Lizenz (Deutsch):Zweitveröffentlichung